Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact.
You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion
- Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business
- Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals
- Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews
- Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion
- Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered
- Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system
- Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base
SKILLS YOU'LL NEED TO BRING:
- 4+ years of experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment
- Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans
- Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows
- Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy
- Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes
- Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts
- You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems
- You’re obsessed with AI, constantly building with the newest tools and learning new ways of working
NICE TO HAVES:
- Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software
- Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path
- Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams
- Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated OTE (On-Target Earnings) range is $166,000-$185,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: United States, San Diego, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users.
This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed.
Responsibilities:
Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security.
Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria.
Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response.
Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity.
Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR.
Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality.
Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns.
Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis.
Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues.
Key Qualifications:
Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture.
System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs.
Proven ability to define operational standards, quality gates, reusable frameworks and governance practices across teams.
Independent technical leader who influences cross-functional partners, mentors engineers and drives adoption of scalable practices.
Strong systems-thinking and troubleshooting depth across runtime, cloud, Kubernetes/EKS/UKS, network, observability, release and incident layers.
Required Skills:
Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting.
AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services.
Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate.
Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar.
Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling.
Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow.
Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact.
Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems.
AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar.
Experience:
BS degree or equivalent in Computer Science, Software Engineering or related technical area.
10+ years operating and supporting services in production environments at scale.
5+ years AWS Cloud experience deploying, tuning and operating Java/API services.
Hands-on incident management experience, including on-call, incident coordination, stakeholder communications, RCA and corrective-action tracking.
Payment processing, commerce, entitlement, wallet, fraud or financial systems experience is a plus.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$199,400
—
$299,200 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Bengaluru, India
Workplace: Remote
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
Must be available to work during Eastern Time Zone (EDT/EST) business hours
ABOUT THE ROLE
We're looking for a highly technical Deployment Engineer to join our remote team. As a DE, you'll embed directly with customers — understanding their operations, designing tailored AI solutions, and deploying systems that deliver immediate impact from day one. You'll take ownership of deployments, integrations, and operational support of Avoca's voice agent products in live customer environments, operating with high autonomy in ambiguous, high-stakes situations.
This role requires deep technical expertise, strong root-cause diagnosis skills, and exceptional communication to keep our solutions running reliably in production.
WHAT YOU’LL DO
- Embed with customers to understand their operations and deliver working AI solutions from day one
- Deploy, integrate, and maintain Avoca's voice agent products within complex customer infrastructure
- Build and maintain the infrastructure behind conversational AI — APIs, integrations, monitoring, and feedback loops
- Diagnose production issues and perform deep root-cause analysis across distributed systems, APIs, and LLM-powered workflows
- Translate business requirements into technical architectures and deployment plans
- Identify patterns across deployments and feed insights back into the product roadmap
- Monitor and optimize product performance in production, working directly with LLMs and distributed systems
- Communicate complex technical issues clearly to both technical and non-technical stakeholders
- Document solutions, best practices, and troubleshooting processes to raise the whole team's operational bar
WHAT YOU'LL BRING
- 2+ years of software engineering experience, preferably backend or systems-focused
- Proficiency in Python (TypeScript/JavaScript a plus)
- Hands-on experience with microservices architectures, APIs, SQL/NoSQL databases, networking, and distributed systems
- Familiarity with major cloud providers (AWS, GCP, or Azure)
- Experience diagnosing and debugging production systems and integration environments
- Strong communicator, able to work with both technical and non-technical, customer-facing stakeholders
- Experience with LLMs, prompt engineering, vector databases, or AI agent frameworks
- Customer-facing technical experience is a plus
- Ability to work remotely while collaborating with a high-performing team across US time zones
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI Engineer on our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude.
Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in German, with German executives and engineering teams, so native or fluent German is essential for the role.
You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude.
Responsibilities
Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in Germany from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude
Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy
Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses
Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working
Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision
Build and present the business value case for Claude with C-level and senior executives, in German and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market
Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production
Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement
Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences
Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed
Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team
Travel to customer sites across Germany for executive meetings, workshops, and relationship building
You may be a good fit if you have
Native or fluent German, written and spoken, as you will work day to day with German enterprise customers at both executive and engineering level
6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder
Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the German market, including scoping and designing complex solutions
Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers
Comfort presenting to, and building relationships with, C-level and VP-level stakeholders
Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams
Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams
Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams
The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing
A passion for making powerful technology safe and beneficial
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£165,000
—
£190,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, Canada; Remote, Poland; Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Intermediate Backend Engineer (Python) in GitLab's Agent Foundations stage, you'll go beyond using AI tools. You'll help build the foundations for GitLab's agentic AI experiences: the platform that lets AI agents work across the whole software delivery lifecycle, not just write code. That covers the reusable building blocks agents and flows are made from as well as our core harness, Duo Developer.
Most of your work will be backend engineering in Python, using libraries such as LangGraph to build secure, reliable and scalable features in our AI Gateway. You'll also work across the stack where needed. You'll work closely with engineers across the stage and other AI Engineering teams. This is a high-visibility area where GitLab's core platform meets its AI strategy.
What you'll do
Develop, ship and maintain features for the Duo Agent Platform in the Duo Workflow Service, the AI Gateway and, where needed, the GitLab monolith. Keep them secure, well-tested and performant.
Build and improve agentic flows and their reusable parts with LangChain and LangGraph, including the Flow Registry.
Work with Product Management, UX, frontend, backend and AI specialists to refine requirements and ship improvements in small iterations.
Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions and Duo CLI.
Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback.
Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering.
Join Tier 2
on-call rotations
to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency.
Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models.
Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses.
Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility.
Comfort working across the stack in a mature codebase. Familiarity with Ruby on Rails and/or JavaScript and Vue is a plus.
Experience finding and fixing performance bottlenecks in applications.
Clear written and verbal communication, including technical proposals and documentation, in a remote, async, cross-functional team.
Openness to learning and to applying skills from related technologies or fields.
About the team
The
Agent Foundations stage
builds the foundations for GitLab's agentic AI experiences. We provide the platform, catalog and execution features that help teams deliver resilient agents and flows to customers. The stage has three groups: Agent Developer, AI Catalog and Agent Execution. Between them, they own the GitLab Duo Developer foundational flow and the Flow Registry; the AI Catalog, including custom agents, custom flows and external agent integrations; and agent execution, agent tools and agent observability.
Our engineers work async-first across EMEA, AMER, and India timezones. We work with teams across AI engineering and the rest of GitLab so the Duo Agent Platform can power many of GitLab's AI features.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes
Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments.
You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement.
This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now.
Responsibilities
Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against.
Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs.
Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product.
Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research.
Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards.
Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected).
You May Be a Good Fit If You
Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.).
Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries.
Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
Thrive in ambiguity and bring structure where none exists.
Have a builder's mindset - you're here to create a function, not just join one.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£165,000
—
£230,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.
Responsibilities:
Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures
You may be a good fit if you have:
6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Strong project management skills and ability to manage multiple customer relationships
Passion for AI and interest in responsible development of advanced systems
Experience working in and building a growing region, while navigating across time zones with US-based headquarters
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
Native English and (Bonus) Fluency in French, German, Spanish or Italian
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£135,000
—
£165,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote Spain, Spain
Workplace: remote
Welcome to OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact.
A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation.
The role
We're looking for a Senior Product Designer to join our Product Design team. Reporting to the Product Design Manager, you will shape design strategy across product squads, own craft and quality standards, and mentor junior and mid-level designers. You'll work at the intersection of design, code, and AI systems—using tools like Lovable, Claude, and Cursor to prototype and iterate. Beyond shipping product experiences, you'll establish patterns, build systems thinking, and elevate the entire team's capabilities in AI-native design. The output we expect is not just working artifacts: it's strategic direction that raises design quality and team maturity across the organization.
What responsibilities will you get when working with us?
Lead design strategy across one or more product squads, translating business goals and user needs into coherent design direction that shapes product roadmaps and team priorities.
Use AI-native workflows to collapse the gap between strategy and production, prototyping and iterating directly in code rather than through static handoffs. Lead by example in adopting tools like Lovable, Claude, and Cursor for end-to-end design execution.
Establish and maintain high craft standards by defining foundational and reusable Agentic Experience patterns, designing scalable components for the design system (Nexus), and reviewing work to ensure quality and consistency.
Mentor and develop designers through critique, guidance, and structured feedback—helping them grow their craft, decision-making, and ability to work autonomously with AI-native tools.
Partner with Product and Engineering to align on experience strategy, success metrics, and technical feasibility—translating design insights into business outcomes and measurable impact.
Conduct user research and run experiments to validate design decisions. Define success metrics, gather feedback, and iterate fast—always balancing speed with quality and bias toward shipping.
Lead design reviews, brainstorming sessions, and strategic discussions with your design peers and cross-functional partners. Communicate design rationale clearly with data, influence decisions, and build alignment around priorities.
Identify gaps and opportunities for design improvement and innovation. Propose and champion new approaches to solving complex problems—whether through design systems improvements, new AI patterns, or cross-domain initiatives.
As a Senior Product Designer, you will need:
Proven experience in UX / Digital Product Design, with a strong portfolio that showcases shipped work, live prototypes, and measurable business impact—not just static screens. We won’t be interviewing if you don’t have a portfolio to share beforehand.
Demonstrated expertise in AI-native design: you actively use AI tools (Figma Make, Lovable, Cursor, Claude, etc.) as a core part of your design practice and can teach others how to leverage them effectively.
Experience building or contributing to design systems, including code components. You understand how design decisions impact engineering implementation and can collaborate deeply with engineering teams.
Proven track record mentoring and developing designers. You give and receive candid feedback, help others improve their craft, and create psychologically safe environments for growth and experimentation.
Strong product and business thinking: ability to frame problems strategically, connect design decisions to business outcomes, and define success metrics that demonstrate measurable impact.
Excellent English communication and influence skills: you articulate design rationale clearly with data, facilitate complex discussions, and drive alignment across cross-functional stakeholders and leadership.
Growth mindset and adaptability: you thrive in ambiguity and rapid change, prioritize learning and impact over mastery of any specific tool, and are excited about emerging technologies and evolving design practices.
What can we offer you:
Work with and impact all OLX websites around the world
Salary + annual bonus up to 15% of your annual gross salary
Train and conference budget and free access to Udemy courses
Permanent contract, health insurance and life insurance
MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
100% remote work (and the possibility to work from our office in Lisboa or Barcelona)
Hiring Process
First Stage
TA Screen
This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and
experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to
discuss your aspirations and ensure alignment with our culture and values.
Second Stage
Portfolio Review
In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your
process thinking and approach to design through a case study of your choice. This is also a great
opportunity to discuss how you collaborate with others and how your values align with our team culture.
Third Stage
AI Sandbox Challenge
This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought
process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your
workflows, and apply your skills in a practical setting.
We aim to make this process clear, collaborative, and reflective of the way we work as a team.
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Singapore based, we are looking for an experienced
Senior Product Manager – AI Risk Strategy
to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making.
At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems.
What You’ll Be Doing
Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines.
Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems.
Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities.
Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction.
Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms.
Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness.
Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes.
Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation.
Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs.
Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems.
What We Look For In You
Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline.
5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or related fields.
Strong experience designing transaction risk strategies, fraud detection systems or review platforms.
Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies.
Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus.
Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines.
Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains.
Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems.
Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration.
Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes.
Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions.
Excellent problem-solving skills with a high level of ownership and execution.
Fluent in both English and Mandarin to support cross-functional collaboration in a global environment.
Nice to Haves
Experience in cryptocurrency, fintech, payments, banking or internet risk control.
Experience building AI-native products or AI-powered operational systems.
Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks.
Experience with A/B testing, strategy experimentation and online/offline model evaluation.
Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk.
Experience working with AI coding assistants or automation tools to improve product development efficiency.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ONSITE
#LI-WWW
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: United States; Seattle, United States
The Company
Our client is a modern survey programming company that helps consultants and investors get deep insights faster, so they can make great decisions. Our client is designed for authoring and launching time-critical market research surveys in record speeds so that their clients can quickly build N and have results sooner.
Our client's solution provides consultants and investors with access to quantitative survey insights on a daily basis. Their clients leverage their custom-built platform and survey engineering team to launch surveys, and gather insights, faster than their competition.
Our client's leadership team comes from the consulting and investment worlds, bringing a strong understanding of the challenges that come with conducting primary research on short timelines. This understanding informs the continued evolution of our client's solution to this day, an understanding that their team is ready and able to run through walls to help clients accomplish their goals. Our client's team is proud to be fully remote since their founding in 2016, with survey directors placed in over 40 cities worldwide.
The Role
As a Survey Director, you will play a pivotal role in driving our client's survey programming projects to success. This is a dynamic role that blends individual contribution, project management, client engagement, and account management. You will be at the forefront of ensuring that clients receive the highest quality survey programming services, from initial design to final data analysis.
The Responsibilities
Individual Contribution
: Leverage your Python programming skills to contribute directly to survey programming and data analysis tasks, ensuring accuracy and efficiency in every project.
Project Management
: Manage 3-5 simultaneous projects in a fast-paced environment, coordinating with external vendors to deliver respondents for surveys. Ensure timely and precise delivery of survey results, meeting or exceeding client expectations.
Client Engagement
:
Pre-launch: Guide clients on the optimal structure for their survey projects, helping them align survey design with their research objectives.
Launch: Work closely with clients during live survey creation, overseeing questionnaire development and key survey elements. Lead the quality assurance process to ensure all logic, conditionality, and programming elements are correctly implemented and functional.
Analytics: Analyze survey data and provide clients with actionable insights, helping them draw meaningful conclusions from their research.
Account Management
: Build and maintain strong relationships with clients, providing hands-on support for urgent changes or updates as needed. Develop and maintain client accounts, ensuring satisfaction and fostering ongoing partnerships.
Product Management
: Identify and flag patterns, optimize processes, and localize products based on client feedback and needs. Contribute to the continuous improvement of our client’s services.
Client Guidance
: Offer expert advisory on survey design and content, helping clients achieve their research goals effectively and efficiently.
Special Projects
: Engage in special projects or other tasks as required, contributing to innovation and the continuous enhancement of our client’s offerings.
Requirements
Bachelor’s degree in any field, preferably in engineering, information technology, business, economics, or international relations. Master's degree would be an advantage.
Understanding and/or experience with Python and/or JavaScript programming.
Proven client-facing experience with a customer-centric approach, strong teamwork skills, a sense of urgency, and a commitment to going above and beyond for clients.
Business acumen in private markets, including knowledge of private equity, due diligence processes, and the role of primary research in these areas.
Benefits
Innovation at Speed
: Be a part of a company that is setting new benchmarks in survey programming, working with cutting-edge technology and high-profile clients.
Global Impact
: Work with some of the most prestigious consulting firms and private equity clients across the globe.
Growth Opportunities
: Have the chance to expand your skills, manage complex projects, and contribute to the strategic growth of the company.
Collaborative Environment
: Join a team that values collaboration, innovation, and client satisfaction above all.
If you are a motivated, client-focused professional with a passion for delivering top-tier survey programming services, we encourage you to apply. Join our client and help them continue to redefine the industry standard.
Location: Dammam, Saudi Arabia
The Enterprise Computing & Cloud Architect is responsible for defining and governing the enterprise architecture for computing and infrastructure platforms across on-premises environments, private cloud, public cloud, and High-Performance Computing (HPC) and AI infrastructure.
Key Responsibilities
Own and maintain the enterprise architecture for computing platforms across on-premises, private cloud, public cloud, HPC, and AI environments.
Define enterprise target architectures, reference architectures, technology standards, principles, and design patterns for computing and cloud platforms.
Develop and maintain strategic technology roadmaps aligned with business objectives, enterprise architecture strategy, and emerging technology trends.
Provide architecture leadership and assurance for major programs, transformation initiatives, and complex technology solutions.
Evaluate and recommend infrastructure, cloud, computing, virtualization, containerization, HPC, and AI technologies based on enterprise requirements.
Establish architectural principles and standards covering scalability, availability, performance, security, resilience, interoperability, and cost optimization.
Ensure alignment between solution architectures and the enterprise architecture, technology standards, and strategic direction.
Lead architecture reviews and provide technical governance throughout the solution lifecycle.
Assess current-state environments and develop transition architectures and migration strategies toward the target state.
Define cloud adoption, hybrid cloud, workload placement, and infrastructure modernization strategies.
Collaborate with cybersecurity, data, applications, networking, operations, and other architecture domains to ensure integrated enterprise solutions.
Provide architectural guidance for high-performance and AI computing platforms, including compute capacity, acceleration technologies, scalability, and integration requirements.
Assess technology risks, technical debt, architectural dependencies, and opportunities for modernization.
Required Qualifications & Experience
Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or a related discipline.
Master’s degree in a relevant field is preferred.
10+ years of experience in technology, infrastructure, cloud, or enterprise architecture
, with significant experience in large-scale enterprise environments.
Demonstrated experience designing and governing complex computing and infrastructure platforms.
Strong experience across on-premises infrastructure and public/private cloud environments.
Experience with HPC and/or AI infrastructure architecture is highly desirable.
Strong understanding of cloud architecture, virtualization, containers, compute platforms, storage, networking, and infrastructure automation.
Experience developing enterprise architecture standards, reference architectures, technology roadmaps, and governance frameworks.
Proven experience providing architectural assurance for major programs and complex technology implementations.
Strong understanding of security, resilience, availability, scalability, performance, and infrastructure cost optimization principles.
Excellent stakeholder management, communication, analytical, and problem-solving skills.
Preferred Certifications
Relevant architecture, cloud, or technology certifications such as:
TOGAF or equivalent enterprise architecture certification.
AWS, Microsoft Azure, or Google Cloud architecture certifications.
Relevant VMware, Kubernetes, HPC, AI infrastructure, or other specialist technology certifications.
Key Competencies
Enterprise & Technology Architecture
Cloud & Hybrid Cloud Architecture
Computing & Infrastructure Architecture
HPC & AI Infrastructure
Architecture Governance & Assurance
Technology Strategy & Roadmapping
Solution Evaluation & Design
Technology Risk Management
Stakeholder & Vendor Management
Strategic Thinking and Innovation
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service.
As a
Senior
AI Deployment Consultant
, you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI.
You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence.
What will I be doing?
Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state.
Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols.
Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.
What skills do I need?
5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this.
Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.
How Will I Be Measured?
Automation Rate - Are you driving your customers to achieve high adoption of Fin?
CX Score — do customers rate the deployment experience highly?
On-time, on-budget delivery — do your projects land against the timeline and scope you committed to?
Time-to-value — how quickly do customers get to a working, measurable Fin deployment?
Contribution to the team — the templates, mentorship, and best practices you leave behind.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the Greater Chicago Area is $109,000-$159,650. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service.
As a
Senior
AI Deployment Consultant
, you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI.
You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence.
What will I be doing?
Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state.
Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols.
Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.
What skills do I need?
5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this.
Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.
How Will I Be Measured?
Automation Rate - Are you driving your customers to achieve high adoption of Fin?
CX Score — do customers rate the deployment experience highly?
On-time, on-budget delivery — do your projects land against the timeline and scope you committed to?
Time-to-value — how quickly do customers get to a working, measurable Fin deployment?
Contribution to the team — the templates, mentorship, and best practices you leave behind.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $120,000-$177,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Espoo; Berlin
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior/Staff Platform Observability Engineer
- Location: Espoo, Finland / Berlin, Germany
- Department: Platform & Release Engineering
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO,)
WHY THIS ROLE MATTERS:
As a Platform Observability Engineer, you’ll make the health of ICEYE’s systems visible, actionable, and reliable. You’ll build and evolve the observability foundation across metrics, logs, and traces, helping teams detect issues early, understand failures faster, and operate their services with confidence. Your work will go beyond dashboards and alerts. You’ll reduce operational noise, eliminate blind spots, and give product teams the tools and autonomy to run reliable services.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Own and continuously improve a unified, production-grade observability stack covering metrics, logs, and traces, giving every team a consistent, self-service way to understand and operate the health of their services.
- Build and maintain trusted alerting by tuning alerts against clear SLOs/SLIs, reducing noise, improving ownership and ensuring real issues surface early.
- Define, document, and drive adoption of instrumentation standards covering metric naming, label cardinality, structured logging, and distributed tracing with OpenTelemetry.
- Enable product teams to diagnose and resolve incidents faster through well-designed dashboards, runbooks, hands-on support, and practical observability guidance.
- Run the observability platform like a product, owning its roadmap, interfaces, reliability, scalability, and cost across areas such as retention, sampling, and cardinality.
- Provide clear technical direction for observability across the engineering organisation, making pragmatic architectural trade-offs and helping teams adopt platform capabilities effectively.
WHAT WE’RE LOOKING FOR
Must haves:
1. Observability platform ownership at scale
6+ years in Platform Engineering, Observability, or infrastructure roles, with end-to-end ownership of a production observability stack (for example the LGTM stack - Loki, Grafana, Tempo, Mimir/Prometheus - or an equivalent metrics/logs/traces platform) at scale.
- Instrumentation & telemetry: OpenTelemetry adoption, metric and label design, structured logging, and distributed tracing across complex, multi-team systems.
- SLO/SLI & error budgets: dashboards and alerting that surface real problems early while minimizing noise and false positives.
- Platform as a product: treating other engineering teams as customers, with clear interfaces and a roadmap shaped by their needs.
- Alerting & reliability attitude: comfortable with on-call, driving blameless learning from incidents, and continuously tuning signal quality instead of letting alert fatigue set in.
2. Software engineering foundation
- A background that includes time spent writing and shipping production software, bringing engineering instincts to building tooling and automation rather than only operating what already exists.
- Proficiency in at least one backend language (for example Python or Go) for automation, tooling, and building internal observability capabilities.
3. Long-term ownership of your own decisions
Demonstrated experience owning the long-term consequences of your own architectural and tooling decisions - having lived with what you built through its maintenance, upgrades, and failure modes, not just its initial rollout.
4. Communication
Excellent written and verbal communication skills in English, able to explain complex system behavior clearly to both engineers and non-technical stakeholders.
Nice to haves:
1. Platform & telemetry breadth
- Rancher, Istio, and Kubernetes-native observability patterns (service mesh telemetry, sidecars, eBPF-based tooling).
- Bridging hybrid environments across AWS and on-prem platforms such as vSphere/VxRail.
- Managing cost and cardinality on large-scale telemetry pipelines (retention policies, sampling, downsampling).
2. Practices that spread beyond your own team
- Defining SLO/SLI frameworks or observability standards adopted across multiple teams.
- Running or contributing to incident response and blameless postmortem processes.
- Mentoring engineers and raising engineering maturity through technical leadership and enablement.
3. Domain context
Background in regulated, security-sensitive, or mission-critical domains.
APPLICATION PROCESS
- Recruiter interview
- Hiring manager interview
- Task Assignment + Technical interview
- Stakeholder interview
- Behavioural interview to assess cultural fit
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Perm; Kuala Lumpur; Baku; Vladivostok
Workplace: onsite
ABOUT YOU
We are looking for an Intermediate / Senior Frontend Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and platform-level experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Build and evolve scalable, high-performance web applications using React and
Node.js
Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences.
Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools.
Own features end-to-end — requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency.
Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards.
Contribute to modernization, refactoring, and performance enhancements to keep the platform scalable, maintainable, and aligned with product goals.
Contribute and enforce engineering best practices across coding, documentation, testing, and review processes.
Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability.
Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements.
Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling.
Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders.
Qualifications & Skills:
4+ years of software development experience with strong expertise in modern frontend engineering at scale.
Deep hands-on knowledge of React including component architecture, SSR patterns, RSC, and complex UI data flows. Proficiency with
Node.js
and MongoDB for server-side functionality.
Strong understanding of modern styling systems and theming approaches (vanilla-extract, styled-components, design tokens).
Solid TypeScript practices, including strict typing, shared contracts, and schema validation (Zod or equivalent).
Experience with Module Federation.
Good understanding of bundling and compilation, experience with webpack/rollup/vite/esbuild
Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress).
Good understanding of backend integration patterns (REST, GraphQL, RPC-style APIs).
Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Nice to Have:
Experience building platforms or tooling used across multiple frontend teams (design systems, template engines, configuration frameworks).
Experience with react-native/mobile experience.
Knowledge of performance optimization strategies for client-side and server-side rendering.
Understanding of accessibility, internationalization, and semantic UI design best practices.
Experience developing SDKs, CLI tools, or developer-facing automation.
Familiarity with event-driven UI flows, real-time interfaces, or edge-rendering strategies.
Background improving developer platforms, observability stacks, or performance monitoring systems.
Comfort with UI-as-data approaches and leveraging AI-assisted/no-code tooling to accelerate feature delivery.
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Georgia; Serbia; Armenia; Dubai; Kazakhstan; Uzbekistan; Belarus; Poland; Spain; Greece; Kyrgyzstan; Moldova; Montenegro; Portugal; Thailand
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
Quadcode.ai is an autonomous native AI studio and multi-agent workspace for software development and design.
We are building a desktop AI IDE that combines specialized AI agents with a rich visual development environment. The product brings together code, visual editors, Live Interfaces, repository-wide RAG, and built-in multimedia capabilities for UI/UX, 3D, video, and audio.
Quadcode.ai can also orchestrate Claude Code and Codex CLI sessions through MCP, allowing different AI agents and development workflows to work together within a single desktop application.
The interface is a core part of the product. We are building a complex, highly interactive, and visually rich application with multiple views, editors, panels, dynamic states, real-time updates, animations, graphics, and dynamically generated interfaces.
Some parts of the UI are generated dynamically and currently involve JavaScript, while the core application is built with Python, PySide6, C++.
We are looking for a Desktop UI Developer who enjoys building sophisticated applications and is comfortable working across different technologies to create complex, polished, and highly interactive interfaces.
Tasks
Develop and evolve the UI of the AI IDE.
Build complex, interactive UI components, screens, and workflows.
Turn product and design concepts into polished, production-ready interfaces.
Work with dynamically generated interfaces and integrate UI components implemented with different technologies.
Develop custom UI components, interactions, animations, graphics, and visual elements.
Work with dynamic data, asynchronous operations, real-time updates, and complex application states.
Keep complex interfaces responsive, performant, and maintainable.
Contribute to UI architecture and technical decisions.
Own UI features end-to-end — from implementation and interaction logic to integration, performance, and final visual polish.
Collaborate closely with backend engineers, AI engineers, and product/design specialists to integrate the interface with the underlying systems.
Requirements
3+ years of professional experience developing complex, interactive UI for desktop or other applications, not just websites or simple web interfaces.
Strong programming skills in Python and/or C++.
Experience with JavaScript.
Strong understanding of UI architecture, component design, application state management, and interaction patterns.
Experience creating custom UI components, non-standard interactions, animations, graphics, and visual elements.
Experience with asynchronous programming, multithreading, and performance optimization in applications.
Understanding of UI responsiveness and performance.
Strong attention to visual details, usability, and interaction quality.
Ability to work with rapidly changing requirements and learn new technologies when needed.
Passion for modern AI technologies and interest in AI-powered development tools.
English — minimum B1; fluent Russian.
Portfolio or examples of complex interfaces you have developed.
Nice to have
Experience with Qt / PySide / PyQt.
Experience with QML / Qt Quick.
Experience with advanced animations and interactive visual elements.
Experience with 2D/3D graphics, rendering, visualization, or multimedia.
Experience integrating design systems or Figma designs into production applications.
Experience with developer tools, IDEs, editors, creative tools, or AI/LLM-powered applications.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR, USD).
Flexible working hours.
The opportunity to show creativity, generate ideas, and directly influence the architecture of the AI product.
Access to cutting-edge AI tools and platforms.
A team of professionals specializing in AI.
Positive and friendly atmosphere.
Show us what you have built
When applying, please provide examples of complex interfaces you have developed. This can include links, screenshots, images, or short video demos of interfaces you have built, as well as relevant GitHub/GitLab projects or published applications.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Helsinki; Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team.
The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration.
This role can be either Paris or Helsinki based and done in a hybrid setup.
ROLE
We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring.
In this role, you will be leading the following topics:
- Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies.
- Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse).
- Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints.
- Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support.
- ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling.
- Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems.
- Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers.
- Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role.
PROFILE
We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale.
- 5+ years minimum of experience as an ML Engineer or a similar role
- End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration
- Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs
- Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping
- ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning
- Performance Optimization: Experience optimizing memory usage during data preprocessing and model training
- Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning)
- Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics
- ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.)
- Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus
- Excellent communication skills in English
OUR STACK
Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services
BENEFITS
- Excellent benefits that will depend on the country you're based in
United States, San Diego, CA; As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features
УдалённоBengaluru, India; Must be available to work during Eastern Time Zone (EDT/EST) business hours; Ability to work remotely while collaborating with a high-performing team across US time zones
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote, Canada; Remote, Poland; Remote, United Kingdom; Our engineers work async-first across EMEA, AMER, and India timezones
leadLondon, UK
London, UK; You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones; Experience working in and building a growing region, while navigating across time zones with US-based headquarters
УдалённоseniorRemote Spain, Spain; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
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